ArticleStroke (Hoboken, N.J.)2022
Brain Aneurysm Biology: What Can We Learn From Imaging?
Article in Stroke (Hoboken, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Cerebral Aneurysm: Filling the Gap Between Pathophysiology and Nanocarriers.International journal of molecular sciences · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aneurysmal subarachnoid hemorrhage portends a high risk of mortality and disability. The clinical and radiological assessment of the risk of a brain aneurysm rupture would aid clinicians in triaging patients for treatment versus observation. However, the specific mechanism underlying the formation, growth, and rupture of brain aneurysms is not known. The development of high-resolution magnetic resonance imaging and the refinement of postacquisition processing protocols have made it possible to analyze the aneurysm wall in detail. The 7T and 3T magnetic resonance imaging scanners provide high spatial resolution images with a high signal-to-noise ratio. The structure, morphology, location, and enhancement features of the aneurysm wall can be characterized with this level of detailed images. Abnormal wall characteristics can then be correlated with blood flow parameters, presence of inflammation, and pathological conditions of the wall. These imaging and analysis tools provide a unique opportunity to estimate the risk of aneurysm development and growth and to better identify novel markers of intracranial aneurysm instability. Morphological analysis of individual aneurysms combined with detailed characterization of the aneurysm wall, and clinical patient information could lead to an accurate and personalized risk prediction of aneurysm rupture.
Identifiers
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Registered trials
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